DATA DE-IDENTIFICATION METHOD AND APPARATUS

    公开(公告)号:US20210192296A1

    公开(公告)日:2021-06-24

    申请号:US17131039

    申请日:2020-12-22

    IPC分类号: G06K9/62 G06N3/08

    摘要: A data de-identification method and an apparatus performing the data de-identification method are disclosed. The data de-identification method includes receiving identification data including a plurality of input feature vectors and generating a graph neural network (GNN) model including a plurality of nodes each having a value corresponding to each of the input feature vectors, determining a de-identification vector to which a correlation between the nodes is applied from the input feature vectors through the GNN model, and extracting an output feature vector by grouping values in each of the input feature vectors using the GNN model.

    IMAGE STITCHING METHOD USING IMAGE MASKING
    3.
    发明公开

    公开(公告)号:US20240062501A1

    公开(公告)日:2024-02-22

    申请号:US18339444

    申请日:2023-06-22

    IPC分类号: G06V10/10 G06V10/44 G06V10/82

    CPC分类号: G06V10/16 G06V10/44 G06V10/82

    摘要: Provided are a method and apparatus capable of improving the feature extraction required for image stitching, the computational efficiency of homography calculation based on the feature extraction, and the performance of image stitching. The image stitching method according to the present invention includes: based on two images and additional information as needed, calculating an overlapping area in which two images overlap each other; masking an area in which the two images do not overlap each other based on information about the calculated overlapping area to provide masked images; extracting significant features to be used for image stitching from the masked images; calculating a homography to be used for image transformation based on the extracted features; and transforming and stitching the images based on the calculated homography.

    METHOD OF MANAGING SYSTEM HEALTH
    4.
    发明公开

    公开(公告)号:US20230161653A1

    公开(公告)日:2023-05-25

    申请号:US17965537

    申请日:2022-10-13

    摘要: A method of managing system health is provided. The method includes calculating a reconstruction missing value with respect to the second domain data, determining a degree of degradation of the system on the basis of the reconstruction missing value, predicting a second remaining useful life (RUL) prediction value {tilde over (y)} of the system on the basis of the second domain data, based on a result of the determination of the degree of degradation, optimizing a degradation compensation function on the basis of a distribution of a first RUL prediction value y of the system predicted based on the first domain data in a pre-learning process of the diagnosis model, and predicting a final RUL prediction value {tilde over (y)}′ obtained by compensating for the second RUL prediction value {tilde over (y)}, by using the optimized degradation compensation function.